QR Decomposition Based MMSE Iterative Equalizer for MIMO Systems 


Vol. 46,  No. 8, pp. 1251-1253, Aug.  2021
10.7840/kics.2021.46.8.1251


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  Abstract

In this letter, we propose an MMSE iterative equalizer based on QR decomposition for MIMO systems. To reduce the complexity of existing MMSE iterative equalizer, the proposed scheme generates a new system model through linear transformation by a unitary matrix obtained from QR decomposition of the original channel matrix, and then performs the MMSE iterative equalization procedure based on the new system model. Because the effective channel matrix is an upper-triangular matrix whose size is determined by the number of transmit antennas, the proposed scheme can expect more complexity savings for the MMSE filter matrix calculation as the number of received antennas increases. Simulation results show that the proposed scheme achieves the identical BER performance to the conventional MMSE iterative equalizer regardless of the numbers of transmit and receive antennas.

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  Cite this article

[IEEE Style]

D. Paeng, J. Ki, A. Lim, S. Park, "QR Decomposition Based MMSE Iterative Equalizer for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1251-1253, 2021. DOI: 10.7840/kics.2021.46.8.1251.

[ACM Style]

Daewon Paeng, Jiyeon Ki, Areum Lim, and Sangjoon Park. 2021. QR Decomposition Based MMSE Iterative Equalizer for MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 46, 8, (2021), 1251-1253. DOI: 10.7840/kics.2021.46.8.1251.

[KICS Style]

Daewon Paeng, Jiyeon Ki, Areum Lim, Sangjoon Park, "QR Decomposition Based MMSE Iterative Equalizer for MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1251-1253, 8. 2021. (https://doi.org/10.7840/kics.2021.46.8.1251)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880